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<ArticleSet>
<Article>
<Journal>
				<PublisherName>University of Tabriz</PublisherName>
				<JournalTitle>Computational Methods for Differential Equations</JournalTitle>
				<Issn>2345-3982</Issn>
				<Volume>5</Volume>
				<Issue>2</Issue>
				<PubDate PubStatus="epublish">
					<Year>2017</Year>
					<Month>04</Month>
					<Day>01</Day>
				</PubDate>
			</Journal>
<ArticleTitle>A new approach on studying the stability of evolutionary game dynamics for financial systems</ArticleTitle>
<VernacularTitle></VernacularTitle>
			<FirstPage>103</FirstPage>
			<LastPage>116</LastPage>
			<ELocationID EIdType="pii">6011</ELocationID>
			
			
			<Language>EN</Language>
<AuthorList>
<Author>
					<FirstName>Narges</FirstName>
					<LastName>Talebi Motlagh</LastName>
<Affiliation>Control Engineering Department,
Faculty of Electrical and Computer Engineering: University of Tabriz, Tabriz, Iran</Affiliation>

</Author>
<Author>
					<FirstName>Amir</FirstName>
					<LastName>Rikhtegar Ghiasi</LastName>
<Affiliation>Control Engineering Department,
Faculty of Electrical and Computer Engineering: University of Tabriz, Tabriz, Iran</Affiliation>

</Author>
<Author>
					<FirstName>Farzad</FirstName>
					<LastName>Hashemzadeh</LastName>
<Affiliation>Control Engineering Department,
Faculty of Electrical and Computer Engineering: University of Tabriz, Tabriz, Iran</Affiliation>

</Author>
<Author>
					<FirstName>Sehraneh</FirstName>
					<LastName>Ghaemi</LastName>
<Affiliation>Control Engineering Department,
Faculty of Electrical and Computer Engineering: University of Tabriz, Tabriz, Iran</Affiliation>

</Author>
</AuthorList>
				<PublicationType>Journal Article</PublicationType>
			<History>
				<PubDate PubStatus="received">
					<Year>2016</Year>
					<Month>10</Month>
					<Day>31</Day>
				</PubDate>
			</History>
		<Abstract>‎Financial market modeling and prediction is a difficult problem and drastic changes of the price causes nonlinear dynamic that makes the price prediction one of the most challenging tasks for economists‎. ‎Since markets always have been interesting for traders‎, ‎many traders with various beliefs are highly active in a market‎. ‎The competition among two agents of traders‎, ‎namely trend followers and rational agents‎, ‎to gain the highest profit in market is formulated as a dynamic evolutionary game‎, ‎where‎, ‎the evolutionary equilibrium is considered to be the solution to this game‎. ‎The evolutionarily stablity of the equilibrium points is investigated inspite of the prediction error of the expectation‎.</Abstract>
		<ObjectList>
			<Object Type="keyword">
			<Param Name="value">Heterogeneous Agent Model‎</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">‎Adaptive Belief System‎</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">‎Evolutionary Game Theory‎</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">‎Rational Agent‎</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">‎Evolutionary Stable Strategies</Param>
			</Object>
		</ObjectList>
<ArchiveCopySource DocType="pdf">https://cmde.tabrizu.ac.ir/article_6011_94343d3d340300caa3f9b4216d2424ef.pdf</ArchiveCopySource>
</Article>
</ArticleSet>
